mlr (version 1.1-18)

makeResampleInstance: Instantiates a resampling strategy object.

Description

This class encapsulates training and test sets generated from the data set for a number of iterations. It mainly stores a set of integer vectors indicating the training and test examples for each iteration.

Usage

makeResampleInstance(desc, task, size)

Value

[ResampleInstance].

Details

Object slots: [object Object],[object Object],[object Object],[object Object],[object Object]

See Also

makeResampleDesc, resample

Examples

task <- makeClassifTask(data = iris, target = "Species")
rdesc <- makeResampleDesc("Bootstrap", iters = 10)
rin <- makeResampleInstance(rdesc, task = task)
rin

## Alternativly provide the size argument instead of a task object
rdesc <- makeResampleDesc("CV", iters = 50)
rin <- makeResampleInstance(rdesc, size = nrow(iris))